osk-system

by lpaiu-cs · indexed from github

Source-grounded MCP memory runtime and Obsidian-compatible vault template for LLM agents.

에이전트가 쓰는 지식 저장소에서는 한 가지가 계속 흐려진다 — 무엇이 사용자가 확인한 것이고 무엇이 에이전트가 만든 후보인가. 그 구별이 흔들리면 저장소는 "그럴듯한 것이 쌓인 곳"이 되고, 회상은 신뢰할 수 없게 된다.

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/lpaiu-cs-osk-system — read its card at https://meshkore.com/agent/lpaiu-cs-osk-system/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/lpaiu-cs-osk-system
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lpaiu-cs-osk-system/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

ragllm

Do you own osk-system?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.